Call For Papers

The AIME 2021 conference invites all interested researchers to submit original contributions regarding the development of theory, methods, systems, and applications of AI in biomedicine, including the application of AI approaches in biomedical informatics, healthcare organization and molecular medicine.
Scope

Contributions to theory and methods should present or analyze novel AI theories or methodologies for solving problems in the biomedical field. They may propose new theories and methods or extensions of existing ones. In both cases, the work should demonstrate its utility for solving biomedical problems and highlight its contribution to the underlying theoretical basis. In addition, it should discuss assumptions, limitations and novelty with respect to the state of the art.

Contributions addressing systems and applications should describe the development, implementation or evaluation of innovative, AI-based tools and systems in the biomedical application domain. These papers should both link the work to underlying theory, and either analyse the potential benefits to solve biomedical problems or present empirical evidence of benefits in clinical practice.

Papers should be submitted to the AIME 2021 Easy Chair Website (https://easychair.org/conferences/?conf=aime2021). Authors are asked first to submit an abstract (maximum 250 words), the full paper may be uploaded up to two weeks later (please see Important Dates below).

The submission website will be open from October 1, 2020.

The conference features regular papers in two categories (please note if you submit a paper as a student):

Full research papers (up to 10 pages)
Short papers (up to 5 pages) and Demo papers (1 page) describing either

a short research project,
a demonstration of implemented systems, or
late-breaking results (work-in-progress).

Papers should be formatted according to Springer's LNCS format (see http://www.springer.de/comp/lncs/authors.html).

All accepted papers will appear in the conference proceedings which will be published as part of Springer's Lecture Notes in AI series. In addition, the authors of the best submissions will be invited to expand and refine their papers for possible publication in the Artificial Intelligence in Medicine journal (Elsevier).